{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A_sales</th>\n",
       "      <th>B_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>686.797064</td>\n",
       "      <td>764.254181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-02</th>\n",
       "      <td>966.813133</td>\n",
       "      <td>226.783167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-03</th>\n",
       "      <td>620.483892</td>\n",
       "      <td>420.991218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-04</th>\n",
       "      <td>324.487808</td>\n",
       "      <td>431.739693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-05</th>\n",
       "      <td>209.680748</td>\n",
       "      <td>324.992253</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               A_sales     B_sales\n",
       "2020-04-01  686.797064  764.254181\n",
       "2020-04-02  966.813133  226.783167\n",
       "2020-04-03  620.483892  420.991218\n",
       "2020-04-04  324.487808  431.739693\n",
       "2020-04-05  209.680748  324.992253"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame(np.random.rand(30,2)*1000 ,columns=[\"A_sales\", \"B_sales\"], index = pd.period_range(\"20200401\",\"20200430\"))\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xbdaa5c0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"A_sales\"].plot()\n",
    "data[\"B_sales\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xd2df0f0>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"A_sales\"].plot(kind=\"bar\",color=\"b\",width=0.25)\n",
    "data[\"B_sales\"].plot(kind=\"bar\",color=\"r\",width=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7VAnazJQCh0f9Xov+CKLFAn8yxmw3xmxyO5gEUmStrYeRF3Gg0OV4EsV1xpiXI12g6oqbIWPMYuAM4Hl0r0bFSdcUdK/OmDHGb4zZATQBDwOvAe3W2uHIKY7kAErQZsaMcUx9xdFxjrV2HXAx8PFI15KIF/0IWAqsBeqB77gbTnwyxmQCdwP/aK3tdDueRDDGNdW9OgvW2pC1di2wgJEetBVjnRbtepWgzUwtUDbq9wVAnUuxJBRrbV3kexNwDyN/DDJ7jZHxKcfGqTS5HE/cs9Y2Rl64w8BP0L06bZExPXcDd1hr/xA5rHt1Fsa6prpXo8Na2w48DpwFZBtjApGHHMkBlKDNzAtARWQWRzJwOXCvyzHFPWNMRmRgK8aYDOBCYOfEz5Ipuhe4KvLzVcAfXYwlIRxLIiLeie7VaYkMvr4N2GOt/c9RD+lenaHxrqnu1ZkzxhQYY7IjP6cBb2VkbN9m4O8ipzlyn2oW5wxFpin/F+AHfmatvcHlkOKeMWYJI61mAAHg17qu02eM+Q1wHpAPNAJfAf4HuAtYCBwC3m2t1aD3KRrnmp7HSJeRBQ4CHzk2dkomZ4w5F3gKeAUIRw5/iZExU7pXZ2CCa3oFuldnxBizhpFJAH5GGrXustZ+LfJ+dSeQC/wZeJ+1diCqdStBExEREfEWdXGKiIiIeIwSNBERERGPUYImIiIi4jFK0EREREQ8RgmaiIiIiMcoQRMRERHxGCVoIiIiIh6jBE1ERETEY5SgiYiIiHiMEjQRERERj1GCJiIiIuIxStBEREREPEYJmoiIiIjHKEETERER8ZiA2wHMVn5+vl28eLGjdfT09JCRkeFoHXOZrq9zdG2do2vrLF1f5+jaOmuy67t9+/aj1tqCycqJ+wRt8eLFbNu2zdE6Hn/8cc477zxH65jLdH2do2vrHF1bZ+n6OkfX1lmTXV9jTM1UylEXp4iIiIjHKEETERHxuMbGO9iyZTGPP+5jy5bFNDbe4XZI4rC47+IUERFJZI2Nd7Bv3ybC4V4ABgZq2LdvEwBFRVe6GZo4SC1oIiIiHlZdff3x5OyYcLiX6urrXYpIYkEJmoiIiIcNDBya1nFJDErQREREPCwlZeG0jktiUIImIiLiYeXlNwDmhGM+XzpLltzgTkASE0rQREREPCw1dRFg8fvnARAI5LF8+a2aIJDglKCJiIh4WH39j/H7g1RW1uLzZVBUdIWSszlAy2yIiIh4WHHx1WRnn08gECQY3EhHxxa3Q5IYUAtaDGiBQRFJdHqdc05OzvnMn381AMHgWfT0vEQo1DvJsyTeKUFz2LEFBgcGagB7fIFBvXiJSKLQ65wzrLXU1NxAb2/V8WPBYCXWDtPdvcPFyCQWlKA5TAsMikii0+ucMzo6nuTAgX+ho+Pp48dyct7CWWcdJivrbBcjk1jQGDSHaYFBEUl0ep1zRl3dj/H7sygsfM/xY35/On5/uotRSayoBc1hWmBQRBKdXueib3DwKM3Nd1Nc/IHXJWStrQ+xb98mrLUuRSexoATNYUuW3IDPd+IflxYYFJFEsmTJDRiTfMIxny9Nr3Oz0NDwC6wdpKTkI697rK+vivr6n6iFMsEpQXNYXt6lVFR8//gnyaSkAi0wKCIJpajoSpKTyzAmwLEV73NyLtLr3CyEQh3k5FxIRsaq1z0WDFYCaLmNBKcxaA47cuSH1NR8jcrKepKSst0Ox1MaG++IDCI+xJYtC1my5Aa9oIvEoY6OLQwMvMayZd9nwYLrePnlS+jqeo5weAifL8nt8OJSefnXx+3CzMhYjc+XRmfncxQVXR7jyCRW1ILmsNbWh0hPP/V4cjYyruAPLkflPk3LF0kcdXW3EAhkU1z8QQBKSj7K4GA9LS33uhtYnOrvrwHAGDPm4z5fEvPmvYHOzudiGZbEmBI0Bw0Pd9HZ+Qw5OW87fqy29jvs2vVu+vsPuxiZ+zQtXyRxVFTczOrV9xMIZAKQl3cJKSkLaWq6y+XI4s/gYCPPP7+Mw4e/M+F5WVnnAhZrw7EJTGJOCZqD2ts3Y+0wubl/SdDmz/8IYKmr+7F7gXmApuWLJI5AIPOEdbmM8XP66Q+zYsWvXIwqPtXX/xxrh8nLu3TC88rL/43165/HGL2NJyr9zzqotfVBfL4MsrLOOX4sLW0xeXmXUl9/K+HwgIvRuWu86feBQF6MIxGRmRoe7uLFF8+mre3R1z2Wnn4KPl+SloKYBmvD1NffSnb2eaSnL5/w3PG6PyVxKEFzUEnJxzj11J/h8504/by09DqGhpppbv69S5G5b+HCL45x1M/w8FF2734fQ0PtMY9JRKanoeHndHZuwe/PHPPx5ua72bZtDaFQX4wji09tbQ/T338g0tMyuT17PsjevVc7HJW4RQmagzIzTzthBehjcnLeSlra8jm9l1pGxgqMSSEpqRgwpKQsYvnyn7N48b/S1HQn27atoa1ts9thisg4rA1RW/tdgsFKgsEzxzwnEMijp2cnTU2/jXF08amh4XaSkvIpKHjnlM63dpDW1j85HJW4RQmaQ9raHqe5+Z4xB3Aa42PDhu0sXfotFyLzhuzsv+KNb+zk7LOPAI9RWXmQ+fPfz+LFX2bdumfx+VJ56aW30Nr6sNuhisgYWlruo7+/mgULPj3uOdnZbyI9fQV1dT+KYWTx65RTbmX16vvx+VKmdH4wWMng4BH6+2sdjkzcoATNIbW1/8lrr3123AGcfn8GAMPDHbEMy1N8vuQxr08wuJENG/7MkiU3kp19PgChUH+swxORCRw+fBMpKYvIzx+/tccYQ0nJtXR1baWr68UYRhefAoFMgsGNUz4/GDwLgM5OLVibiJSgOSAcHqSt7bETZm+O5ciRW3j22VKGhlpiFJk3tLc/ydatp9HdvXPcc/z+DBYu/Bw+X4DBwaNs3bqcQ4e+hbWhGEYqImOx1lJS8hGWLLkRn2/i9c6Lij6Az5dOXd0tMYou/lgb4uWXL+bo0emtG5eZeTo+X6oStASlBM0BHR3PEA73TJqgZWWdQzjcQ339z2IUmTe0tNxHX99+UlOntpGyMYZ58zZQXf05dux4M319B50N0EWNjXewZctiHn/cx5Yti7Vwr3iSMYaioiumtIp9UlI2S5d+h8LCK2IQWXxqbX2Q1tYHpz2z3+dLpqTkWtLTVzoUmbjJ8QTNGHPQGPOKMWaHMWZb5FiuMeZhY8yrke85kePGGPM9Y0yVMeZlY8w6p+NzQmvrQxgTON49N57MzNVkZb2JurofzqmWoZaW+8jOfhOBQHBK5ycl5bFq1e859dRf0N39Z7ZtW0NDwy8Tbvq+dleQeDAwUE9NzTcYGmqb8nNKS68lJ2fi18O5rK7uVpKSCsnPv2zaz1227CZKSj7sQFTitli1oJ1vrV1rrd0Q+f0LwKPW2grg0cjvABcDFZGvTUBcjizt7t5BMHj2lBKQ0tKP099/kJaW/4tBZO7r66umt3fPpIswnswYQ3HxVWzY8DKZmWuPL1GSSC1O2l1B4sGRIzdz4MC/MDzcOq3n9fVVU1Pz7wn3wWq2+vtraWm5j/nzr37dkkxTNTzczfBwZ5QjE7e51cV5GXB75OfbgXeMOv5LO+I5INsYM9+NAGdjzZr/47TT/mdK5+bnv4Pk5BLq6n7ocFTe0NJyP8C0E7Rj0tIWs3btZlas+BVNTb9m375rEqbFSbsriNeFQn3U1d1Cfv5lpKUtndZz29uf4MCBL9HR8ZRD0cWnhobbAMv8+dfM6PmDg808/XTWnBsqMxcYpz/NGGMOAG2ABX5srb3VGNNurc0edU6btTbHGHMfcKO19unI8UeBz1trt51U5iZGWtgoKipaf+eddzr6b+ju7iYzc+yFGKNjB7AAyHewDq/YDjwDfPL4kZlf38uBxjGOFwHO3hPOGO/fkw7cP6MSnb935665eW3/F/hP4CZg7TSf2w+8G3gD8OVJz5471/dZYCeRt7QZei+wiqlcV5hL19Ydk13f888/f/uoHsVxxSJBK7HW1hljCoGHgU8A946ToN0P/PtJCdrnrLXbxyt/w4YNdtu2beM9HBWPP/4455133pTOrar6DMb45/QaZ9M1net74vN8jOT9JzOcd178bSB8bAza6G5OY1KoqPgBJSUfZmionUAga1pbvMz02srk5tq1tdbywgur8PlSWb9++4y2Gqqq+jRHjtxMZeVhkpOLJjx3rl3f2di16710dj5HZWXNlM7XtXXWZNfXGDOlBM3xLk5rbV3kexNwD7ARaDzWdRn53hQ5vRYoG/X0BUCd0zFGi7VhGhv/m4GB+mk/t7PzeV555W8YHu52IDJv6O2toq+vOmrljbef53jHva6o6EoqKm6JxD+yu8Kpp95GScmHCYX62bHjPPbs+XuNNRFXDA+3k5q6mAULPjPjfSBLSq7F2iHq62+LcnTxqanpLgYHx2o1n55gsJKBgUMMDMTN26VMgaMJmjEmwxgz79jPwIWMtOXeC1wVOe0q4I+Rn+8FPhCZzXkW0GGtnX6245Lu7j8zNHSU3NyLpv1ca0O0tNxHU1N8jp+aikOH/p1t29YRDg9HpbwlS27A50s/4ZjPl86SJTdEpXw3hMNdWDvM2Wc3UVl5kKKiK4GR6fSFhe+lqel3bN++Xot+SswlJeWwZs0DFBe/b8ZlpKcvJzf3En3IAPr7a9i9+3KOHLl51mX9ZcHa52ZdlniH0y1oRcDTxpiXgK3A/dbaB4EbgQuMMa8CF0R+B3gAqAaqgJ8AH3M4vqhqbX0IgNzcC6f93GCwkszMtRw5cnNCznKyNkxLy/3k5l406cKWU1VUdCXLl99KSsoiAAKBXJYvv/V4UhOPRgZQG5KS8k44boyPRYu+yNq1jxMK9fHii5XU1v4gIe8V8Z7+/sNRW39w9er7WLr0xslPTHD19T8FDPPnz36JjHnzzmDZsv8iMzMuV6aScUTnnXIc1tpq4PQxjrcAbxnjuAU+7mRMTmptfYjMzDNITi6c9nONMZSWXse+fR+mo+MpsrP/yoEI3dPVtZ2hocYZz94cT1HRlXGdkI1mraW9/Umys980bhdSdva5bNiwg717P0h9/U+YP//D+P2pMY5U5pqamq/T1PQbzj674fg2dTN17N7u6ztAWlp5NMKLO+HwSDdvbu7FU16weyI+XwoLFnwqCpGJl2gngSix1pKZuZaiovfPuIzCwisIBHI4cuQHUYzMG0aW1zAz6v6dqnB4IK63zervr2ZwsI6srImT8+TkfFavvpfTT38Uvz+V4eFOOjtfiFGUMtcMDh6lsfG/KSz8+1knZ8ccOXILzz+/lL6+A1EpL960tPwvg4P1lJR8JGplDg4epanpd4TDg1ErU9ylBC1KjDFUVHyXsrJPz7gMvz+dRYv+haysN0YxMm9obb2fYLCS5GRnlhKxNsyWLQs5cOArjpQfC+3tI+tDZWdP/v9vjO/4tTxw4Mv8+c9nc/jwd7A2/mavirfV1d1CONwf1RaavLy/Bgz19bdGrcx40t29g5SUheTmXhy1MtvbN7N793vo7n4pamWKu5SgRUl/f21U3hzLyj7DggWfiEJE3rJ69QOccsqPHSvfGB/B4Eba2h5yrA6nZWSsZMGCfyI9fcW0nrd48VfIy3s7r732WV555e0MDh51KEKZa8LhAerqbiYn521kZERvv8fU1DLy8v6G+vrbpr3/ZCIoL/8aGzfujtp4XBgZxwyaKJBIlKBFgbWWHTv+ij17Zt69OVoo1EdDwy8Tqqk6ObmAzMzTHK0jJ+dC+vqiu5RHLAWDG1m27NsYM70/y6SkHFat+j3Lln2ftraH2bZtLQcOfJ0tWxYDb477LbDEPZ2dWxkaOjqrnoHxlJZ+lKGhZpqb/xD1sr0sFBpZ5zBa3cXHpKYuIDm5lM7OLVEtV9yjBC0K+vqq6O8/QFbWOVEpr739CfbuvSphXrgOHvwaDQ2/cryeY7Nn29oedryuaBsaaqera/uMlyAxxrBgwXWsW7cFY1I5fPjfE2YLLHFPdvYbOeusQ+TkTH9m+mRyci4gNXUpDQ23T35yggiHB3n++WXU1DizFFBWVqVa0BKIErQo+MvyGm+LSnm5uReSmro0ISYLhEL9HDr0H3R2Put4XWlpp5BNKBCVAAAgAElEQVSSspDW1j85Xle0tbY+yPbtG+ju3jGrcubNWwcMEQ73nXBcm67LdB3rekxJmT/jhWknYoyP0067m1Wrfhf1sr3q6NH/YXCwnszMMxwpPxg8i/7+A1FZ/Fbc5+gyG3NFW9tDpKYunfbmweMxxkdp6cd47bV/oqtrB/PmTXfPO+/o6HiCcLg36strjGVkosYPSE4udryuaOvoeBK/P5PMzNn/Xw8MHB7nuDZdl6nbtes9+HwprFp1l2N1ZGa+bhWmhFZX9+PI5IDofJg/WVHR+8nPfxdJSdNf6km8Ry1osxQOD9DW9ljUl48oLv4QPl8adXWzX2XaTS0t9+HzpZGdfX5M6svP/xuCwTfEpK5oam9/kmDwnKgMGk60LbAk9np7q2hp+V/S05c7Xldb26O8+OI5Cb3NHUBv76u0tz/G/PnXYIzfkTqSkwtJSyt3pMVTYk8J2qz5WLXq7qiuZwMjA7+Liq6kt3dv3C6dYK2lpeU+cnLeit+fFrN6W1sfoqXl/2JW32wNDbXQ27sraosTj7UFFkBe3t9EpXxJfEeOfBdjApSUOL+Zi8+XRmfnszQ1/drxutzQ2HgHW7YsZuvWUwAIBLIdra+5+R7HxrhJbClBmyWfL4m8vIvIzFwd9bKXLfsea9c+Oe1ZfV4xPNxBcnIpeXlvj2m9Bw9+lZqar8W0ztno6HgaYNIFaqfqxC2wDCkpZaSlnUJT068YHu6ISh2SuIaG2qmv/zmFhVeQkjLf8fqCwUoyMtZQV/ejhNu6rLHxDvbt2xSZsDOiuvrzjk7YaW9/gpqaG6K257G4Jz7f+T2ktvYHdHe/7EjZfn8axhiGhzvishUtKSmbdeuepqRk9nvNTUdOzoWR5QHaYlrvTOXkvJU1a/4U1a7ZoqIrqaw8CDxGZeUh1q3bwpo1DxEIZEWtDklMDQ23EQ73sGBB9JfWGIsxhpKSj9LdvYOurq0xqTNWqquvJxzuPeGY0xN2gsGzCIf76Olx5n1JYkcJ2iwMDDRQVfUJWloecKyOzs5tPPtsyfGZovEkFOqb/CQHjCy3Eaat7VFX6p8uvz+D3NwL8PlSHKsjKSmXYHAjAI2Nv9EsLxnX/PkfZsWK38R0clJR0ZX4/ZkcOfKjmNUZC+NNzHFywk5WlhasTRRK0GahrW1kOQenZuQAZGauIRAIcuRIfE0WGBpq4Zln8qiv/3nM654370z8/mBc7CowPNzFgQNfprf31ZjUNzBQz759H+aVVy4lFOqJSZ0SXwKBLIqKLo9xnfMoL/838vIuiWm9TnNjwk5KykKSk4u1YG0CUII2C62tD5KUVOjoVHGfL5n58zfR2voAfX2vOVZPtLW2PkQ43EdGxqqY1+3zBcjJeQtdXX+Oed3T1dm5hZqar9PffzAm9aWkzGflyt/S1fUiu3dfrnEqAvxlIPvjjxueeabQlUWNFyz4FIWF74l5vU5avPjLrzvm86WzZIlzg/iNMQSDZzM01OpYHX+5X3zaqcRBStBmyNowbW0Pk5v7NscH8ZeUfARj/HHV/N/Sch9JSYXMm7fBlfqXL7+N9eu9P56lvf1JwH98H71YyM+/lIqKm2lpuY+qqk8k3MBsmZ6TB7IPDTW7tvPE4OBRjhz5YVyOuR3L4GADAElJRYxM2FnE8uW3UlR0paP1rlp1F2vW3O9I2SfeL9qpxElK0Gaor6+aUKjP0e7NY1JSSsjMXE9t7U1x8YklHB6mtfX/yMu7xLUZqElJOXEx+7Wj40nmzVtPIJAZ03pLS6+lrOzz1NXdQkfHMzGtW7zFjYHs42lre4hXX/04bW2PxbzuaBsaauXQoW+Sl/c3nHNOA+edF6ay8qDjyRng2Dpr4K37JdF5/x3Mo9LTl3HuuS3k5/+t43U1Nt5BT89LQJh4+MTS2fksw8PtMdk9YCIHD36N/fs/6moMEwmF+unsfJ6srDe6Uv+SJd/g9NMfIzv7XFfqF29wYyD7eAoK/g6fL5OdO98OvNnzH0Yn4vdnsmTJNygvj/2aZNZaXnnl7dTU3Bj1sr10vyQ6JWiz4POl4PenOl7PyCeW/hOOefkTS2rqEsrL/52cnAtcjWNwsJGGhv8mHB50NY7x9PW9is+XHLUFaqfLGB85OSM7PHR0PEt7+xOuxCHu8tLOE83Nv8fa/shest7/MDoRny+Z0tKPObJG5mSMMQwM1B2fyBZNXrpfEp0StBkYHu5k27YNtLQ8GJP64u0TS2rqAhYt+gKBQNDVOHJz30Y43ENHh/Mbtc9EZuZqzjmnjdzci12Nw9owr776CXbufAc9PbtdjUVib8mSGzDmxCVenB7IPp7q6uux9sSJK17+MDqeAwe+Qn39ba7GkJVVSWfn1qhPBBrZqeTEnWHcul8SnRK0GWhre4zu7u0x274onj6xDAzU0dT0e08s4ZCdfR7GBDy93IbPF8DnS3I1BmN8nHbaH/D5Unn55UsYGKh3NR6JraKiKzn11NtG7TwRm4HsY4m3D6Nj6e2t4tChb9DV9aKrcYwsWNtDb++uqJVpbZjCwstZvvwnx99/AoFs1+6XRKcEbQZaWx/E78+M2cy78fZWLCn5eEzqn47m5rvZvfvdx2cvuSkQCBIMnk1ra/Sb+WcrHB7mxRfPoanp926HAkBq6iJWr76PoaGjvPLKpQm/cbX8RSjUT27uxVRWHozpQPaxxNOH0fEcPPhljEli0aJ/cTWOY+9PHR3RWw+tsfEOtm/fQHb2W6isrOFNbxrm3HPblJw5RAnaNFlraWt7iOzst+DzJcekzpP3VkxOLsXny6Sp6b9dW61/PC0t95GWtpy0tKVuhwJAYeEVZGaegbUht0M5QXf3n+nsfJaRiR/eMG/eelatuovu7pc4cuQHbocjMdLW9jDPPJNPZ6f7y9KM/WHUkJPzFlfima7u7pdoavoNCxZ8Kib7mE4kNbWcvLy3k5SUF5Xyhoe7qK7+PMYkk5xcCPxltmgo1D/RU2WGAm4HEG/6+l6lv/8gZWWfi2m9RUVXnvAppaXlQfbu/QC9vftiuiXLRIaHu2lvf5zS0k+4HcpxpaXXuh3CmDo6ngJwbQbnePLyLuGMM54gGDzL7VAkRtraHsHnSyUjY43boRx/jauuvp6BgUOkpJQRCOTS0PAzsrLOZv78f3A5wolVV19PIJAd8/eHsRhjWL36j1Err6bmBgYH6znttHtOWMJo5853EQ4POLbu2lymFrRpsnaI/Py/JTf3IlfjyMu7iDPPrPZMcgYjL/TWDrq+vMbJrLUMDNS5HcYJ2tufJC1tmeufsseSlXUOxvg5fPj7PP10XlysvScz19b2CFlZb4zJjPSpKCq6ksrKg8BjVFbWsG7dFnJzL2Lfvmuor/+Fy9FNrLT0oyxb9l2SknLcDuW4UKhv1jPZe3tfpbb2Pyku/iDB4JknPJaWVkFb258YGmqZVR3yekrQpikjYxWnnfZ70tLK3Q6FQCATa8McOvQtT2wD1dHxNH5/FllZ57gdygn27/8I27dv8MyK+daG6eh4iqwsd5bXmIrGxjuorv4Mw8OtxPtyBzK+gYF6ent3k5PzVrdDGZffn8qqVfeQk/NW9u27mubme9wOaVx5eX9NcfEH3A7juM7ObTz9dJC2tkdmVU5t7U34fKmUl//76x4rLHwv1g57+v8lXilBm4ZweJD+fm/NJhocbODQoW9E9lV0d72vpUu/xcaNu1yflXiyYPAsBgfr6enZ6XYoAIRCXeTkvNXTG0MnynIHMrG2tkcBPD/Gy+9P5bTT/khJycfIyvLewsqtrX+iuvpLnpi9Plp6+qlYG6az87lZlbNs2Xc5/fTHSEkpft1jmZlnkJZWQVPTnbOqQ15PCdo0dHQ8zXPPLaK1dXafRqIpJaWE5ct/RlfXNqqrv+BqLMYYUlJKXY1hLDk5FwI4smjjTAQCWaxa9VsKCpzfhWKmEmG5A5lcdvabqKj4EZmZ3hkqMR6/P41TTvkByckFhMODnllY2dowr732OZqafosx3vpwGghkkpm5hs7Omc3kDIcHGR7uwudLIhgce19lYwyFhe+lvX0zg4ONswlXTqIEbRpaWx/EmCTPDaAuKHgnpaWfoLb2Jo4evdeVGA4f/i/27r3ak5scp6YuID19pWeW2xgaanc7hEklwnIHMrnU1DJKS6+Ni31rR6up+QY7dryZpqa73A6Fpqa76Ol5ifLyr8VsZv90BIOVdHY+P6OZ7LW132Pr1uUMDEy8bFJR0VUsX/5TfL6MmYYpY4ivv0qXtbY+RFbWOTHf2Hoqli79FpmZZ7Bv3zWEQr2TPyHKGht/RW/vPs++0OfmXkhHx5OuL0tireWFF1axf/91rsYxmbGWO/D50rRaeALp7z9MQ8N/Mzzc4XYo01ZW9lmyss5m9+6/p7n5btfiCIeHOHjw/5GRsZrCwitci2MiweBZhEJd9PTsmdbzBgYaqKn5GpmZ68bs2hwtPX0Z8+d/yJPvjfHMc++mxpiLjDH7jDFVxhh3++xGGRiop6fnZddnb47H50th5crfsmrV3fj9r1/U1kkDA/V0d2/33OzN0YqL/4GVK+88vm6PW/r7qxkcrCMj4zRX45jMyWvvjawu/xMtSJlAWlruZe/eDzA0dNTtUKYtEMhk9eoHCAY3snv35TQ3/48rcTQ0/Jy+virKy2/w7IfT7Ow3s2TJt6a9HtqBA18kHO5n2bKbpnT+0FAbtbXf99yM+XjmqTvKjLx73gxcDKwErjDGrHQ3qhHHxi/l5LzN5UjGl55eQXb2yADa3t6qmNXb2voAgKcTtMzM08jPv8z1Loj29icBXNsgfTqOLXdw3nlhzjxzP35/JuHwgNthSZS0tT1CaupiUlOXuB3KjAQC81iz5kEyM9ezf/8mV3a/CAYrKSv7nKdf+1JTF7Bw4WentaRPZ+dWGhp+wYIFnyY9vWJKzxkaOkpV1SdpavrtTEOVk3gqQQM2AlXW2mpr7SBwJ3CZyzEBkJt7CStW/IrMTPcXc5xMc/PdbN26nNbWh2NSX0vLfaSklHm+VainZw9HjtziagwdHU+SlJRPevoKV+OYrra2x9i58x20tDzgdigSBeHwMG1tm8nJeSvGGLfDmbFAIMiaNQ9y+ukPu9K9lpm5mqVL/8Pz13BwsHlaY3Cbmn5LcnLxtLarSk+vIDPzDM3mjCKvJWilwOFRv9dGjrkuObmAoqIrPduMPVpu7sWkp5/Knj3vm3RwZzSkp69g/vxrPP8i1dJyH6+++lFXm+Db258kK+uNnr9WJ8vJeStJSYVaBy1BdHdvJxTq8PT6Z1OVlJRNZubpABw69G1aWh50vM7h4Q727v0wfX0HHa8rGurqfszLL79tyhOUli79NuvXbyMQmDetegoLL6erayt9fQdmEqacxHhl8U4AY8y7gbdZaz8c+f39wEZr7SdOOm8TsAmgqKho/Z13Opux9/TsJSNjD3ABEC+DIA8AHwVWAd8E3B17NZHu7m4yM2NxXauAa4DPA26MJbTAI0AusD4mNUb32n4PuA/4A/Hzd+Cc2V/bR4CfAk1AIfBhIFYJ0z2M/H/eA2THqM7pmf71HQSuAw4C3wDGXhYiOn4G/DdwKzC1LkB3bQc+C/wHsHGCa9sDdANFM6ynAbiCkbdnb06aiIXJ7t3zzz9/u7V28hvUWuuZL6ASeGjU718EvjjRc9avX2+dtnnz1XbzZuzAQKPjdUVTXd1P7ebN2IMH/82xOvr6DtpweHhWZWzevDk6wUwiHA7bp58usrt2XRGT+rwgmte2o+M5u3kztq7utqiVGc9mc20bGn5ln3gi3W7ezPGvJ55Itw0Nv4pegJPo76+LWV0zMZPrOzh41G7derrdvDlgn3660G7ebOyzzy6K6nUdGGiwTzyRYXfufG/UynTa0FCn3bzZ2Orqr1hrx7+2VVX/bJ94ImNW73Xbt1favXuvmfHzE8Fk9y6wzU4hJ/Jaf90LQIUxptwYkwxcDrizsNcJXiAzcx3JyYVuBzItxcVXU1x8NUlJBY6Ub61lx47z2LPn/Y6UH23GGHJzL6St7WFX1mtrb3+Cnp5dMa83WubN20ha2rJZbxsjIzs1hMMnLocT650avLgP7GwlJeVRUnItEGJoqAkntimrqbmBcLif8vKvR6W8WAgE5pGRcdqEOwr09u6ntva/KCx876ze69au3czy5bfO+PnyF55K0OzI3jLXAQ8Be4C7rLWuvaM1Nt7Bli0LgVfo66uKu/E3xhhOPfU2Sko2OVJ+b+8e+vsPkp19niPlOyEn50KGh7tc2bt0//6P89prn415vdFijGHt2sdZsSK+/g68yM2dGtrbn2DXrnczMHDE8brccOjQjYwMJ/iLaCW/fX0Hqau7hfnzr57y7EavGFmw9rlxP5xWVX06stbhN2ZVj8+XAoxMRJHZ8VSCBmCtfcBae4q1dqm11rVVMRsb72Dfvk0MDIzMWQiFOuN6s+jGxjvZvfuKqG4Y3tJyHzCyQXC8KCj4W849tzXmL65DQy309u7y9AbpU5GSUhp3Exy8yM2dGlpa7ufo0T8SCHhz7NlsjZ/81lBXd+usluPw+zMoKbmWRYu+POMy3FJW9s+sX78VeP3fb0vL/bS2PsDixV8hOXmm48/+orr6S2zfviGq7zdzkecSNK/wQhdENA0NNdPUdCd79ryPLVsW8/jjPrZsWTyrhLOl5T4yM9d6cv/N8fj9aTFfyBdG9nEFyMp6Y8zrjrbDh2/ipZcucDuMuDayI8OJE3d8vvSY7NTQ1vYoweDZ+P2JuS3PeEmuMUns3/8RtmyZz75919LVtWPaZScnF1BR8T1SUxfMNsyYS09fRnr6KWN+wOrqepH09JWUlkZnh5OUlAX09LxET8/OqJQ3VylBG0eibRZdWnodmZnraWr6NQMDNcxmbMZI128ZHR1P0dd3IO5aFVtb/8SLL57D8HBXzOpsb38SY1IIBt8QszqdYkyAtrZH4no8nduKiq5k6dJvkZRUCBh8vlTKyj7r+E4Ng4NH6e7+c0IsrzGesbcpS2f58p9zxhnPkp//tzQ23h7pCh0xlQWYDxz4Cu3tT0c93lhqbPw1DQ23v+744sX/j/Xrt0VtIe+Cgr8FfFq0dpaUoI0j0TaLNsYwNNT4uuPhcC+vvvopmpp+y9Gj99La+jDt7U8zOHg08vgAAwMNDA93EA4P0tBwrOu3FoBQqCPuun6N8dPZ+Szt7U/ErM6OjqcIBs86Pj4jnhUWvhfwx9X/uReVlX2ac85p5NxzOwF/TMaEtbdvBiw5OW9xvC63jL1N2a0UF19JVlYlK1b8gsrKOpYu/SYAPT27eeaZIl599RN0d4/d4tPZ+Tw1NV+LXL/41dj4Kw4f/vbx3wcG6unsfB4Y6V2IluTkIrKzz6ep6U51c85CwO0AvGrJkhvYt2/TCd2cseqCcMp4bwDDwy3s3n35CcdWrPgNRUWX09HxDC+9NPGL+bGu33jZpzEr61x8vjTa2v5Efn5stmhZs+ZPDA01x6QupyUnF5KbewGNjXdQXv5vMVm8ubHxDqqrr2dg4BApKQtZsuSGuLnfxtLW9ij9/YcpLn4/gUAmhYXvprn5Lioqvuto16MxPoLBc5g3L/5bcidSVHTlhPdHUlIOSUk5wEiLcF7epdTV/YQjR35AMHg2JSUfoaDgPRw9ejfV1V+K9Jz4SE4uidG/wBnB4FkcPPggI2udQXX1F2huvouzzjpEcnJ0Z/sXFl7O/v3X0N39IvPmxWbdx0SjBG0cx/64E+lNISVlYaR780TJySWcfvrDhMN9hEJ9hMN9ZGSsBiAt7RQqKn4YeayXgwf/35hlx1PXr8+XQnb2ebS2PhSzOpOSsklKSpxB2YWFV7J37/vp6HiG7Gxnx9Udm7Bz7MPSsa55IG7/Ho8c+SFdXdsoLr4KgOLiD9HQ8Auam++huPh9jtVbUPC3ke4nOSY9/RRWrvwVQ0PfpaHhdurqfsz+/dcSCg3w2mv/OOpDepiqqk/i96fG7X0XDFYyMsN1Hx0d+TQ2/pKFC78Q9eQMoKDgXQwNNcZ9UusmdXFO4Nhm0fAYlZUH4/aP8pjxxmYsXfpNMjJWMm/eerKzzyU39wJSUoqBkY12S0s/SlnZZ1i8+F8i3QavF29dvzk5F9LXtz8mW7U0NPySQ4f+w/F6Yik//x2UlFxLUlK+43Ul2oQda0O0t28mJ+ctxwdsZ2WdS2rqEhoafuFYvSMfvgYdKz/eJSXlUVb2GTZu3MuGDX/m0KEbEuq+A+jvP/YB/bPs2PEm/P4sFi78kiN1JSXlsmjR9Qm53l6sKEGbQ8YbmzGdxHO8JC/eun5zcy8iL+9SwuEex+uqr/8pzc1/cLyeWAoEMjnllB+RkeH8pu+JNmGnq+vPDA+3nTBQ3xgfCxd+gdzcixwbs9PYeAdPP51Lf3+tI+UnCmMM6enLE+6+a2y8g6qqTx3/3dpBwuE+WlqcWws+HB6gqel39PTsdqyOkUlr0VmZwGvUxTnHTDY2YyrPh/jv+s3IOJXVq//X8XpCoX46O59nwYJPOl5XrFlr6ep6AZ8v5fhm1U4Yr2s+3lptj2lvfxSA7Ow3n3C8pOQaR+tta3uEQCArrpbFcVOi3XdjtURbO+jo+OFweIA9e95PScm1VFT8V9TLT8ThD6OpBU2m7VjX73nnheO+63dgoMHRFa+7urZi7WBCrH92MmtDvPLKpdTUONt6OtJqe+IMM2NS4q7V9pje3v1kZJx2fBjBaKFQL83Nd0e9Fc3aMO3tj57QrSoTS5TegmPcaBEMBILk5V1Mc/NdWBuKevmJNvzhZErQZM5qaXmALVvm09X1gmN1tLc/CYyMMUo0Pl+AwsL30tLyvwwPdzhWz0jX/E9Gdc0v5NRTb4vbDwannnob69aNvSdic/Pd7Nr1d8cXNo6W7u6XGRo6mtDrn0VbNIaEeIlbS0cVFl7O4GB91O9pSLzhDydTgiZzVjB4JmBoa/uTY3WEQp3Mm7eRpKRcx+pwU2HhlYTD/Y6NsQuHB9i5852kppaParWtobDwCurrfxHTxYajabylNAoK3oXfnxn1yQLHNrhP5PXPnJBIvQVutQjm5V2Kz5fuyKK1gcDYr6vx2g19MiVoMmclJeUxb94baG11LkFbuvSb47aWJIJg8ExSU5c6NjC3tvb7HD36P4RCJ+6f2N39Evv2fYiamq87Uq9TDh36Jrt2vXvcDav9/gwKCt5Dc/NdhELRm8CSm3shS5fepPFnc5hbLYJ+fwZ5eZfS3f1SVMu1NhRJOE9MY+K5G/pkStBkTsvNvZDOzucZGmp3rI5EHvNjjKGo6Eq6u7dHvTVrcLCJmpqvk5v71+TmXnjCY/PmnUFx8dXU1t5ET8+eqNbrpKNH72Fg4MiEi/sWF3+QUKg7qq2SmZlrKCv7x6iVJ/HJraWjli//KWecEd0uTmP8vOENL1FR8aNRSWcZpaWfiOuWztGUoMmclpNzIRCivf2xqJddW/s9tm8/k1Cod/KT41hZ2WeorKwjEJgX1XIPHPh/hMO9LF367TEfX7LkRvz+TF599RNxsZ3M8HAHnZ0vTNrNeGxNtPb2x6NSb2/vq7S0PKg10MQ1gcA8jDFR+TsdGmqnuvqLhEL9JCXlUFq66Xg3dF7epRw58t2EWUpGCZrMacHgWZxyyk8IBs+OetltbY8xPNyK358++clxLBDIwu9Pi2qS1N29k/r6n1JS8nEyMk4d85zk5ALKy/+N9vZHaW7+fdTqdsrI3q8hsrMnTtCMMaxbt4Xly38alXobG3/JK6/8NeFwX1TKE5mJ+vrbeP75ZbP6oBAOD7F793s4fPjb9PS8vsu0rOxzWBumpuZfZxOqZyhBkznN50uipOTDYy55MBvWhunoeIqsrL+Karle1dm5lRdeWBm17sb09OVUVHyfxYu/POF5JSXXUlDwdyQl5UWlXie1tT2Kz5dGVlblpOcmJxdGrcWhre0RgsGNBAJZsy5LZKaSk4vp76+e8Zhfay1VVZ+kre1hTjnl1sgkrxOlpS2mpOSj1Nf/LK6GPoxHCZrMeUNDbdTV/ZT+/sNRK7OnZzfDw61kZ8+NBC0lZSG9vfujMlnAWovPl0Rp6ccmnf1qjJ9Vq35HTs6bJzzPC9LSljJ//jX4fClTOv/w4ZvYtu2McScUTMVIt+pWLa8hrsvJuYBAIIfm5pnN5qyt/S51dbdQVvZ55s//0LjnLVp0PX5/BgcOxP9aaErQZM4bHm5l//5rOHr0j1Ers6Pj2PpnibdA7VhSUorJyXkrTU13zKrVJxweZMeON9HcfM+0nhcK9VBdfT09PXtnXLfTFiz4JBUV353y+UlJBfT0vDSr9aNGulXDk3arijjN50smP/9dkVnZ0+tuHxpqp6bm6+Tnv4slS74x4bnJyQWUlf0zoVA3oVD/bEJ2nRI0mfPS0pYSCBRQXf25qO3nlpq6mOLiD5GaWh6lKL2vqOh99PcfpLPz2RmXceTID+joeGra4/ZCoW6OHLmZqipvThgYHGwmHB6Y1nMKCt6J3z9vVmuitbc/OeVuVRGnFRZeTijUTWvr/03reUlJ2axb9xwrVvxywhnQxyxa9CVOP/1P+P2pMw3VE5SgyZzX2HgHoVBbZBC1Pb6f22yStLy8Szj11J8l9BIbJ8vPfwc+X9qMr9vgYDMHD36N3NxLyM1927Sem5xcRHn512lre4Tm5rtnVL+Tqqs/x/PPL5tW8nhsTbSmprsYHu6e/AljWLr0m2zY8NKUu1VFnJSdfR5lZf9MevrYE39ONjBQT23tD7DWkp5eMe4Czyczxg9Af38NXV0vzjhetylBkzmvuvp6rD1xP87Z7Oc2PNzJwEBDNEKLK4HAPMrLv05u7kUzev7Bg18hFOpm6dLvzOj5JSUfJSNjDa+99ukZJzROsNbS1vYo8+adOe2Evbj4g4TDPRw9OrM10YzxkZ5eMaPnitgp8PgAABMXSURBVESbzxdg6dJvkpGxctJzQ6Fedu58O9XVX5jR1k3WWl5++a/Zu/eDjuwDGgtK0GTOG38/txpaWx+Z9iDt5ua72bJlPr29+6MRXlwpK/sn8vPfPu3n9fVVU1f3Y0pLx19WYzI+X4CKipsZGKjl0CHvrCTe11fFwMDhGW2zlJV1DosWfZl5894w7ecePfq/7N//sbjdDksSk7Vh2tuforNz24Tn7Nnzfrq6trNy5W9ITV007XqMMSxa9C/09LxCY+OvZxOya5SgyZw3/r5tPl5++QKee66cAwe+TF9f9ZTK6+h4kqSkfNLS5mbLRX//IZqb/2daz0lNLWf16ntZvPgrs6o7O/tcliz5FoWF3llJ/C/7YE5/JqUxhvLyfyUjY8W0n9vc/Huam3835W4hkVjZvfvyCT9EHThwPUeP/oGlS79Dfv7fzLiewsL3kJm5LrLo9fTGgHqBEjSZ88bbRHj58ttYufJO0tNXUFPzbzz//NIpbb/T3v4kWVlvnFPjz0Y7dOg/2LPnCoaHO6d0vrUhjDHk5f11VDaVX7jws2RmnjbrcqKlre1RUlLKSEtbNuMy2tuf5OjRe6d8/ki36iNkZ795SoOqRWLFGB8FBe+mpeUBhoc7Xvd4T89eDh36JiUl17Jgwey2JzPGx5IlNzIwUENd3S2zKssN+suVOW+8TYTnz/8ghYXv5fTTH+Sssw5RXn4D2dnnA9DQcDt7915Ne/tTxwd+NzbewbPPLqC/v5r29scd20Dc64qKriQc7ufo0cmXygiHB9m2bR1HjvwwqjEMD3ewe/ffR3U/y5lauPDzVFR8f1YJe03N16mq+scpd7f39u5lcLBO65+JJxUWXo61g2MubZSRcSpnnPEUy5Z9LyofcnNzLyAn520MDNTPuqxYC7gdgIgXFBVdOeEGu6mpC1i06EvHfx8cbKS5+Xc0NPyctLRlZGSspbX1/uPb6QwPt7Fv36bjZc8lwWAlqanlNDbeQXHxVROee+TIzfT0vExq6uKoxuDzZdDTs4uOjmfIzb3I1e22gsHpjx87WXHxB9mz5310dDxFdvabJj1/Nt2qIk4LBs8kJWURTU13Ulz8AQB6e/fT11dFXt4lZGVFd+u9NWvuPz6zM56oBU1kBhYu/Bxnn93AqafeTkrKAo4e/f3r9jqczUzQeGaMoajoStraHp3wU+vg4FEOHvxXcnLeRm7uxVGNYWTCwA8YGDhETc3EC1s6qa1tMy0tD8x6bbb8/OmuiWbJyjqXtLS5sw6fxA9jDIWF76Gr60VCoX6Ghlp55ZVL2bv3akKhHgfqG0nOOjufZ3CwMerlO0UJmsgM+f0ZFBd/gLVrNwNjN8XPZHp4IhgZpG8mXLT22LIay5b9pyPj9bKz30hR0fs5fPhb9Pa+GvXyp+LQoRt57bV//v/t3X90VPWZx/H3k4FMQvgVfiT8CAaCkYrigcJqc+x2wdWuuj3VdtutLu2p3bV03brr1na3rbRbtItrOVV7XFt7qLXHXWnRrna1Pf2xRWXFA1KNoKIskA5JREiikpBEkgnJPPtHLjTg5PfczGTyeZ2Tw+R779z78JwvwzP3fr/fO+y/XyQygaKiT9DQ8NMBLSFSUvIPLFu2bVjnFAlTfv455ORE2bZtAtu3z6GtLcb55z8a2qSWeLyOXbveT3X1baEcPwwq0ERSoLeZoL3PEM1uBQXv4eKL65k58y+Sbo/H6zhy5H7mzr1hQGsiDVVZ2QZycvI4ePCW/ndOsUQizrFj21J2m3HWrM8QieRz/Phr/Zy3IyOfpiByUn39Jqqqbgq+wDruccwitLdXh3bOaHQWs2d/liNHNnL8eFVo50klFWgiKdDbTNCyssxZj2ukjR8/HSBpsRCNzmL58ueZP39dqDFEo7M477yfUl5+b6jnSaa5+TkSibYhrX+WzOTJFVRUvMHkyRf2uV9t7Qaee6500M87FBkpsdhaEonjp7W5d4Q+JKS09F8wy+Xgwa+Fep5UCa1AM7N1ZvaGme0Ofq7sse2rZlZlZvvM7M96tF8etFWZ2VfCik0k1XqbCTrWJgj0lEh08tJLl1Fdfetp7SfHmEyceMGpIi5M06Z9kNzcYtwTJBIdoZ/vpO6B+jkDGtQ/EGZGTk4u7ok+i6/Gxi2MHz+DSCQ/JecVSbXeFwcPd0hINDqLefNu5s03H6alpTLUc6VC2FfQ7nb3pcHPLwHMbDFwDXAecDnwPTOLWPcovu8CVwCLgWuDfUVGheLi1VRUVLNyZYKKiuoxXZxB90B9MOrr//PUVbRE4gSVlSuIxUb2lmNXVzu7dv0xNTXfHLFztrRUMmnSHzFu3JSUHbOrq42dO8uprf1WL9vfobl5h2ZvSkZL55CQefP+iby8hbS1Zf5tznTc4rwK2OzucXc/CFQBFwY/Ve4ec/cOYHOwr4iMUsXFq2lvj9Hc/BwAhw9/j+PH/4/Jk1M7jb4/kUgeeXkLqKn5N7Zvn8vWrTns2DE/1LXqliz5BUuWDHxx2YGIRPLJz19Iff2DSddEO3bsWdw7UnZbVSQM6RwSMm7cZC66aB9FRZ8I/VzDZWENJjWzdcB1QDPwAvBFd280s3uB59z9oWC/HwK/Ct52ubtfH7R/CrjI3W9Mcuw1wBqA4uLi5Zs3bw7l73BSa2srEydODPUcY5nyG5705/Yd4KN0Xxj/DPBJ4D3ABnqb+RqenwH3nNEWBb4EDP6KU/pyuwVYD9wFLDtj2/eBx4DHgdF9izP9fTd7ZUZutwD3Aw1AEXA9Q/l3OHQJYCdwEam+VtVffletWlXp7iv6O86wFqo1sy3ArCSb1gL3Ad8EPPjzTuCvSf6p7CTPUNLq0d03AhsBVqxY4StXrhxs6IOydetWwj7HWKb8hicTcltZ+V5aWn5Od9EACxZ8jNLSVSMex44d1xF/1+P44kSjD1FR8a+DPl5fua2puYOOjjrKy78z6OP2p6vrQrZv/3dmzNjNued+4bRtjY0JWlsvZN681K4rlw6Z0HezVWbkdiUw+H93qfLWW4+zZ88tLF68OeVX01KV32EVaO4+oHLXzH4A/CL49RAwr8fmEuBw8Lq3dhEZherrN9Hauovub6vdampuIy+vZMTH6I3kwOT6+oeIRmen/LjwhzXR6us3UV5+L+PGTTq1rbDwEgoLLwnlvCLZZPr0D1FQsISDB7/GjBkfJSdnfLpDepcwZ3H2/HT6CLAneP0EcI2ZRc1sAVAO/A54Hig3swVmlkv3RILUDuAQkREVi63F/fTLVul6wsJIDUyOx+s4fvzVUAfql5TcxOLFD5OT84fbmO+8s5eWlsoBP69TZCwzi1BWdgdtbVUcOXJ/usNJKsxJAhvM7BUzexlYBXwBwN1fBR4BXgN+DXze3bvcvRO4EfgNsBd4JNhXREapdE2nTyb5wOT8lA9Mbmp6CoCpU8MbqF9QcB4zZnwomCnb7dChu9m9+09VoIkM0LRpVzBlygeorr51QE/oGGmhFWju/il3X+LuF7j7h939SI9t6919obsvcvdf9Wj/pbufE2wbuyt8imSJTHrCwplr1ZmNJxqdT1HRX6X0PI2NTzJu3FQmTTpzAH9qdXQ0EIt9jba23wfn3UJh4arTijYR6Z2ZUVb2LSKRCbS3x9IdzrvoSQIiEppMe8JCz7Xqzj77Htra9tLQ8JOUniM3t5iiotWnHtAclkSig9ra26mre5C2thjt7Qe1/pnIIE2Z8j5KS2/llVc+PCLL7wyGvmqJSGhOTgSIxdYSj9cSjZ5FWdn6jFjEd86cz1JX9wBVVTczffqfp2xB2bKy21NynP7k5ZVQWHgZdXUPkps7Bwj3tqpINqqv38SBA3976tFT8XgN+/atAUj755SuoIlIqDL1CQtmEc455z5OnGjg4MGvp+SYnZ0tI/qg8vz8s4nHazlw4AYgMioeXyOSSZI9FzRdE5nOpAJNRMasSZOWM2fO39Ha+jKJROewj7dv39/w4osXpSCy/tXXb6Ku7kc9WrrYv39NxtyeERkNMmki05lUoInImLZw4bdZuvTpYQ+ud0/Q2PgUEyaMzCOEu7/5n/7Q9Ez55i8yWmTSRKYzqUATkTEtEsnDzIjHj9DY+OSQj9Pa+hKdnW+P2HMwM/mbv8hokWkTmU6LI90BiIhkgv37P8err36cjo43h/T+k8XdSBVomfzNX2S0OHP5nWi0lEWLNmbEWFkVaCIiQFnZHXR1tRCLfXlI729qepIJE84lGp2T4siSy+Rv/iKjSaZOZFKBJiICFBQspqTki9TV/YimpmcH/f65c/+e+fNvDSGy5DL5m7+IDJ/WQRMRCcyf/3UaGn7MgQM3sHz5i4N6gPL06VeGGFlyxcWrVZCJZCldQRMRCUQiBZx99j1MnLj0XWsj9aWpaRvNzS+EGJmIjDW6giYi0sPMmVczc+bVg3pPLPZV3E+wfPnOkKISkbFGV9BERJJobX2Z6urb+t2vs7OFlpadIzZ7U0TGBhVoIiJJvP32z6mu/gZHj/6mz/2OHXsG904VaCKSUirQRESSmDfvS+Tnn8OBAzfS1dXe636NjVvIyclj8uSLRzA6Ecl2KtBERJLIyYlSXv5d2tqqeP31Db3u19S0jcmTLyYSyRvB6EQk22mSgIhIL6ZNu5Siomuoqbmd4uLV5OcvfNc+y5Y9w4kTQ3v6gIhIb1SgiYj0YeHCO8nPX0RubvInBEQiE4hESkc4KhHJdirQRET6EI3OYcGCdUm31dZ23/o866x/HsGIRGQs0Bg0EZEBaGr6X3bt+hM6O1tPtR0+fB/NzTvSGJWIZCsVaCIiA2CWy7Fjz1BTc3JttMO0t1dTWHhpWuMSkeykAk1EZACmTKlg9uzrOXToblpb9wCVAEydqvXPRCT1VKCJiAxQWdkdQJTKyhXAXUCElpbKNEclItlIBZqIyAAdPfpr4ATu8aCli/3711BfvymdYYlIFlKBJiIyQLHYWtw7TmtLJI4Ti61NU0Qikq1UoImIDFA8XjuodhGRoVKBJiIyQNHoWYNqFxEZKhVoIiIDVFa2npycCae15eRMoKxsfZoiEpFspQJNRGSAiotXs2jRRqLRUsCIRktZtGgjxcWr0x2aiGQZFWgiIoNQXLyaiopq4CkqKqpVnIlIKFSgiYiIiGQYFWgiIiIiGcbcPd0xDIuZvQnUhHyaGcBbIZ9jLFN+w6Pchke5DZfyGx7lNlz95bfU3Wf2d5BRX6CNBDN7wd1XpDuObKX8hke5DY9yGy7lNzzKbbhSlV/d4hQRERHJMCrQRERERDKMCrSB2ZjuALKc8hse5TY8ym24lN/wKLfhSkl+NQZNREREJMPoCpqIiIhIhlGB1g8zu9zM9plZlZl9Jd3xZBMzqzazV8xst5m9kO54Rjsze8DMGsxsT4+2aWb2WzM7EPxZmM4YR6tecrvOzN4I+u9uM7synTGOVmY2z8yeNrO9Zvaqmd0UtKvvpkAf+VX/HSYzyzOz35nZS0Fubw3aF5jZzqDvPmxmuUM6vm5x9s7MIsB+4DLgEPA8cK27v5bWwLKEmVUDK9xd6/GkgJl9AGgF/sPdzw/aNgBH3f2O4AtGobt/OZ1xjka95HYd0Oru305nbKOdmc0GZrv7i2Y2CagErgauQ3132PrI71+i/jssZmZAgbu3mtl44FngJuBm4DF332xm3wdecvf7Bnt8XUHr24VAlbvH3L0D2AxcleaYRJJy92eAo2c0XwU8GLx+kO4PZhmkXnIrKeDuR9z9xeB1C7AXmIv6bkr0kV8ZJu/WGvw6Pvhx4BLgv4L2IfddFWh9mwu83uP3Q6hjp5ID/2NmlWa2Jt3BZKlidz8C3R/UQFGa48k2N5rZy8EtUN2CGyYzmw8sA3aivptyZ+QX1H+HzcwiZrYbaAB+C/weaHL3zmCXIdcNKtD6ZknadE84dS529/cCVwCfD24jiYwW9wELgaXAEeDO9IYzupnZROBR4B/dvTnd8WSbJPlV/00Bd+9y96VACd133c5NtttQjq0CrW+HgHk9fi8BDqcplqzj7oeDPxuAn9HduSW16oMxKCfHojSkOZ6s4e71wYdzAvgB6r9DFozfeRTY5O6PBc3quymSLL/qv6nl7k3AVuB9wFQzGxdsGnLdoAKtb88D5cGMjFzgGuCJNMeUFcysIBiwipkVAB8E9vT9LhmCJ4BPB68/DTyexliyysniIfAR1H+HJBho/UNgr7vf1WOT+m4K9JZf9d/hM7OZZjY1eJ0PXEr3GL+ngY8Fuw2572oWZz+CqcffASLAA+6+Ps0hZQUzK6P7qhnAOODHyu3wmNlPgJXADKAe+Abw38AjwFlALfBxd9dg90HqJbcr6b495EA18LmTY6Zk4Mzs/cA24BUgETTfQvc4KfXdYeojv9ei/jssZnYB3ZMAInRf8HrE3W8L/n/bDEwDdgGfdPf4oI+vAk1EREQks+gWp4iIiEiGUYEmIiIikmFUoImIiIhkGBVoIiIiIhlGBZqIiIhIhlGBJiIiIpJhVKCJiIiIZBgVaCIiIiIZ5v8B2bUcWyYjDKsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = range(len(data))\n",
    "y_A = data[\"A_sales\"]\n",
    "y_B = data[\"B_sales\"]\n",
    "\n",
    "fig = plt.figure(figsize = (10,6))\n",
    "ax1 = fig.add_subplot(211)\n",
    "plt.bar(x,y_A,facecolor=\"r\")\n",
    "plt.bar(x,-y_B,facecolor=\"g\")\n",
    "fig.add_subplot(212)\n",
    "plt.plot(x,y_A-y_B,\"--go\",color=\"y\")\n",
    "plt.grid()\n",
    "plt.axhline(0,color=\"r\", linestyle=\"--\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
